The steady-state performance of a tribo-pair is influenced, to a great extent, by the operating conditions at which it is run-in. To gain insight into the influence of operating conditions, experiments are conducted using a pin-on-disk test rig to evaluate the running-in duration under a combination of different loads and speeds. The wear rate and the arithmetic average of asperity heights, R
a
, and friction coefficient are measured during the running-in period. It is shown that the transient behavior during the running-in period is significantly influenced by the loading condition. At the onset of the steady-state period, the surface roughness, the wear coefficient, and friction coefficient reach a plateau. However, the steady-state friction and wear behavior is influenced by the transient history associated with the running-in period. A predictive model is developed that utilizes the principles of the continuum damage mechanics (CDM) to predict the wear coefficient for transient and steady regimes. Comparisons of the measured wear coefficient and the calculated wear coefficient show acceptable agreement.
Wear coefficient and friction coefficient are two of the key parameters in the performance of any tribo-system. The main purpose of the present research is to use continuum damage mechanics to predict wear coefficient. Thus, a contact model is utilized that can be used to obtain the friction coefficient between the contacting surfaces. By applying this model to the continuum damage mechanics model, the wear coefficient between dry surfaces is predicted. One of the advantages of using this model is that the wear coefficient can be numerically predicted unlike other methods which highly rely on experimental data. In order to verify the results predicted by this model, tests were performed using pin-on-disk test rig for several ST37 samples. The results indicated that the wear coefficient increases with increasing the friction coefficient.
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